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Pandemic Tracking and the Future of Data

99% Invisible

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Reevaluating Racial Categories in Public Health Data

This chapter explores the limitations of existing racial classifications in public health data, revealing the problems with multi-race and broad categories like Asian American. It calls for a decolonized approach to data collection that prioritizes community involvement and individual diversity to improve health metrics for communities of color.

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